agent/papers/items/2026-2607-14264-monteret-ai-agent-enhancing-multimodal-llms-with-multi-granularity-knowledge-ret.md

Paper: MonteRET: AI Agent Enhancing Multimodal LLMs with Multi-granularity Knowledge Retrieval for Chest CT Report Generation

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type: paper title: "MonteRET: AI Agent Enhancing Multimodal LLMs with Multi-granularity Knowledge Retrieval for Chest CT Report Generation" authors: Yi Lin, Yihao Ding, Elana Benishay, Elefterios Trikantzopoulos, David Nauheim, Hanley Ong, Jiang Bian, Hua Xu, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.14264 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-15 updated_at: 2026-07-15 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• computer-use
• rag methods:

benchmarks:

models:

datasets:

• cs.CV related_concepts:

related_jobs:

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related_projects:

collection_score: 15 collection_queries: ai-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: ai-agent
• inferred topics: agent-evaluation, agent-safety, computer-use, rag
• arXiv categories: cs.CV
• collection score: 15

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.14264